(SCTP) Intelligent Data-Driven Digitalisation (Classroom and Asynchronous e-learning) (Eligible for Full-Time TA)
About This Course
Are you ready to transform your career with cutting-edge skills in data and digital technology? This program is specifically designed for individuals looking to enter the exciting world of data-driven digitalisation, no prior experience needed. Participants will be guided every step of the way, building expertise from the ground up.
Throughout the program, participants will gain hands-on experience with essential tools and techniques, including the integration of Generative AI to enhance learning process. Upon completion of the program, participants will be proficient in Python programming and equipped to develop practical, real-world business solutions. Participants will have the confidence to customise and apply generative AI tools to solve complex problems and boost productivity in daily work.
This programme also focuses on key areas like mindset development, critical thinking, data analysis, automation, and AI technologies to empower participants to adapt to industry changes and enhance their career prospects.
With a comprehensive practicum experience, participants will be ready to step into a new career, leveraging on advanced technology to drive business success and innovation.
This programme will also focus on key areas like mindset development, critical thinking, data analysis, automation, and AI technologies to empower participants to adapt to industry changes and enhance their career prospects.
What You'll Learn
1. Perform basic data retrieval and data transformation using the NumPy package in Python.
2. Build and customise basic visualisations using the Matplotlib package
3. Explain the differences between transactional (OLTP) versus analytical processing (OLAP)
4. Create Relational Databases under given scenarios
5. Apply Structured Query Language (SQL) to interact with a relational database
6. Create a data warehouse based on business requirements
7. Apply Extract, Transform & Load (ETL) process to integrate data from various sources
8. Acquire a comprehensive understanding of data cleaning, transformation, and integration techniques to prepare data for further analysis
9. Create clear, concise, and visually appealing data visualisations to communicate data-driven insights effectively
10. Leverage low-code methodologies to significantly reduce development time and increase productivity
11. Identify opportunities for digital transformation and implement innovative solutions using low-code technologies
12. Recognise, identify, and apply design patterns to solve real-world problems and improve the quality of their code or low-code solutions
13. Develop the ability to interpret the results of AI models, assess their reliability, and identify potential biases or limitations
14. Build and deploy AI-powered solutions, from data preparation to model deployment and evaluation
15. Acquire the knowledge and tools to identify opportunities for digital transformation and implement innovative AI-powered solutions
16. Develop build intelligent applications that leverage AI and machine learning to solve real-world problems and drive business value
17. Design and create visually appealing and interactive dashboards that effectively communicate insights to diverse audiences
18. Foster a growth mindset and develop strategies to enhance workplace productivity and effectiveness
Entry Requirements
At least a Higher Nitec qualification. Basic English Proficiency, foundational numeracy skills and familiarity with using digital tools such as Excel. Prior experience in programming or data analysis is advantageous but not mandatory. Participants without the necessary qualification can be considered on a case-by-case basis.